Senior AI Research Scientist

iCAD · United States · $165k – $200k · posted today ago

engineering machine-learning remote jobs in united states

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About this role

SENIOR AI RESEARCH SCIENTIST

About iCAD:

iCAD, a global leader on a mission to create a world where cancer can’t hide by providing clinically proven AI-powered solutions that enable medical providers to accurately and reliably detect cancer earlier and improve patient outcomes. iCAD’s industry-leading ProFound Breast Health Suite provides AI-powered mammography analysis for breast cancer detection, density assessment and risk evaluation. The ProFound Breast Health Suite is cleared by the U.S. Food & Drug Administration (FDA) and has received CE mark and Health Canada licensing. Used by thousands of providers serving millions of patients, ProFound is available in over 50 countries.

POSITION DESCRIPTION:

iCAD is seeking a talented and motivated Senior AI Researcher to join our dynamic and innovative team. As a critical contributor to our research and development efforts, you will play a pivotal role in designing, developing, and improving AI-based medical devices that will drive the next generation of solutions in medical imaging and healthcare, particularly in breast cancer detection and diagnosis. This position offers the opportunity to work in a fast-paced environment with cutting-edge technology while directly contributing to saving lives through improved healthcare solutions.

RESPONSIBILITIES:

AI Model Development: Design, develop, and optimize AI/ML models, specifically deep learning algorithms, to advance our breast cancer detection and imaging tools.
Algorithm Research: Conduct research to identify new methodologies, techniques, and technologies in artificial intelligence and machine learning that can be applied to medical image analysis.
Collaboration with Product Management: Work closely with Product Management to identify key innovation areas where AI can drive meaningful product functionality and market differentiation improvements. Contribute to strategic roadmaps by providing insights on AI trends and potential research breakthroughs that align with customer needs and business goals.
Data Analysis: Work with large medical datasets, performing data preprocessing, annotation, and enhancement tasks to improve the accuracy and efficiency of AI models.
Collaborate Across Teams: Partner with software engineers, radiologists, clinical teams, and other stakeholders to integrate AI solutions into production environments and evaluate their real-world performance.
Validation and Testing: Lead the testing and validation of AI models to ensure they meet regulatory standards, including FDA clearance, and are robust for clinical use.
Research Publications and Product Marketing Support: Provide write-ups, white papers, and technical documentation that clearly describe the functionality, benefits, and impact of AI models and innovations. Collaborate with Product Management and Marketing teams to highlight the key benefits of research deliverables for external audiences, including customers, investors, and healthcare professionals.
Mentorship: Provide mentorship and guidance to junior researchers and collaborate with cross-functional teams to accelerate research and development efforts.
Regulatory Compliance: Ensure all AI development activities comply with healthcare industry regulations and are accompanied by supporting documentation for submissions to regulatory bodies.

REQUIREMENTS:

Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
5+ years of R&D experience in medical imaging, computer vision, or machine learning, with a proven track record of developing AI solutions.
Expertise in deep learning frameworks such as TensorFlow, Keras, or PyTorch.
Advanced knowledge of Python and C++ for implementing AI solutions.
Demonstrated experience with large-scale data processing and managing complex datasets.
Experience with medical imaging datasets (e.g., DICOM, mammography, CT, MRI) is highly preferred.
Solid understanding of AI model validation techniques, regulatory requirements (e.g., FDA 510(k)), and experience working in a healthcare environment.
Strong publication history in top-tier conferences and journals, showcasing original research.
Strong communication skills, with the ability to present complex research results to technical and non-technical stakeholders.
Excellent analytical, organizational, and communication skills with the ability to present complex ideas clearly.
A proactive team player, capable of working independently while contributing to cross-functional teams.
Ability to generate patentable ideas and contribute to intellectual property development.

Preferred Qualifications:

Experience with explainable AI (XAI) and model interpretability in medical applications.
Familiarity with cloud platforms (Google Cloud, AWS) and deploying AI solutions in cloud environments.
Knowledge of biostatistics, healthcare regulations, and clinical workflows.
Experience working in cross-functional teams and fast-paced R&D environments.